Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services

Mensah, Isaac Kofi

doi:10.3389/fpubh.2022.906106

Cited by 11 publications

(33 citation statements)

References 117 publications

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“…Finally, the results for all samples showed that perceived ease of use was affected by mobile self-efficacy. Recent studies by Mensah (2022) and Song et al (2022) also concluded that mobile self-efficacy has a significant effect on perceived ease of use. This finding suggests that when pre-service and in-service teachers possess experience and self-efficacy in their use of applications on mobile devices, they will perceive the use of MAR to be easier.…”

Section: Discussionmentioning

confidence: 97%

“…They studied the acceptance of mobile-based assessments among 145 senior high school students and found mobile self-efficacy was positively associated with perceived ease of use. Recently, Mensah (2022) found that this component positively affected the perceived ease of use of m-health services. Similar findings were found by Song et al (2022) on the factors that influence older adults' adoption of voice-user interface.…”

Section: Hypothesis 6bmentioning

confidence: 99%

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The mobile augmented reality acceptance model for teachers and future teachers

Koutromanos,

Mikropoulos,

Mavridis

et al. 2023

Educ Inf Technol

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This study examines the factors that affect pre-service and in-service teachers’ intention to use Mobile Augmented Reality (MAR) in their teaching through the proposed Mobile Augmented Reality Acceptance Model (MARAM). The MARAM builds on the existing Technology Acceptance Model (TAM) to incorporate four other components namely perceived relative advantage, perceived enjoyment, facilitating conditions, and mobile self-efficacy. In addition, this study investigates the validity of the MARAM. Data were collected from 137 pre-service and 169 in-service teachers who completed a questionnaire after having developed their own MAR applications during an undergraduate university course and a training seminar, respectively. Structural Equation Model (SEM) analysis was conducted separately for each group, as well as for both samples together. We also conducted a multi-group analysis to examine differences across the two samples. The results for both samples together (N = 306), showed that intention was affected by attitude, perceived usefulness and facilitating conditions. In turn, attitude was affected by perceived enjoyment and perceived usefulness. Perceived usefulness was affected by perceived enjoyment and perceived relative advantage. Perceived ease of use was affected by mobile self-efficacy and facilitating conditions. However, perceived ease of use did not affect perceived usefulness or attitude. A multi-group analysis conducted on the sample of pre-service and in-service teachers produced similar results, with minor differentiations. These results have implications for the use of MAR in research and schools, as well as technology acceptance models in education.

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Section: Discussionmentioning

confidence: 97%

Section: Hypothesis 6bmentioning

confidence: 99%

The mobile augmented reality acceptance model for teachers and future teachers

Koutromanos,

Mikropoulos,

Mavridis

et al. 2023

Educ Inf Technol

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show abstract

“…Younger individuals with higher educational levels and greater digital competence are more likely to embrace these technologies (Tao et al ., 2023). Additionally, individual health beliefs and attitudes are significant predictors of adoption (Oloveze et al ., 2022) (Mensah, 2022). Perceived usefulness, perceived ease of use, and the perceived impact of the app on one’s health outcomes can drive initial adoption and sustained engagement (Mensah, 2022) (Wu et al ., 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Additionally, individual health beliefs and attitudes are significant predictors of adoption (Oloveze et al ., 2022) (Mensah, 2022). Perceived usefulness, perceived ease of use, and the perceived impact of the app on one’s health outcomes can drive initial adoption and sustained engagement (Mensah, 2022) (Wu et al ., 2022). On the contrast, barriers such as privacy concerns, data security, and the fear of technology replacing human interactions can hinder adoption and lead to discontinuity (Jacob et al ., 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of mobile health (M-Health) application adoption, usage and discontinuity among corporate workers diagnosed with hypertension and diabetes

Liashiedzi,

Eto,

Atinga

et al. 2024

JHOM

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PurposeThis study examined the determinants of mobile health (M-Health) application, adoption, usage and discontinuation among corporate workers diagnosed with hypertension and diabetes in Ghana.Design/methodology/approachThe diffusion innovation and reasoned action theories were employed using an exploratory design. Three hundred corporate workers diagnosed with diabetes and hypertension from three health facilities for the past six months were sampled for the study using a multi-stage sampling technique and administered questionnaires. Descriptive statistics and logistic regression tools were employed in the analysis of data.FindingsThe study found a significant number of factors influencing m-health applications adoption, usage and discontinuity. These factors include nature and demand of job, perceived advantage, compatibility, complexity, triability, aesthetics and trust. Aesthetics emerged as the strongest predictive factor for the adoption, usage and discontinuity of use among diabetic and hypertensive corporate workers. With the adoption of M-Health applications, compatibility, as well as nature and demand of job, were significant predictors. With the usage of M-Health applications, complexity, triability, aesthetics and trust were significant predictors. Moreover, perceived advantage, compatibility, complexity and triability influenced significantly the choice to discontinue using M-Health applications. The study concluded that M-Health application functionalities play a valuable role in patients’ intention to adopt, use and discontinue the use of an M-Health application in Ghana.Originality/valueThis exploratory study offers in-depth insight into how major M-Health application features affect its adoption, usage and discontinuity, providing crucial information for future research and the improvement of chronic condition healthcare delivery.

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“…The platform provides value to each of these user groups by enabling them to interact and exchange value with each other (Ardolino et al, 2020;Bakshi & Tandon, 2022;Mensah, 2022).…”

Section: Research Objectivesmentioning

confidence: 99%

Understanding the acceptance of multisided teleconsultation platforms: a critical analysis and proposal of a theorical model

Galegale

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I cannot thank enough Luis Hernan Contreras Pinochet, my co-advisor turned friend. When I could not find strength to continue, he did. After all the late nights collecting and analyzing data, discussing different theories, and going thru a whole crash course on new analytical methods. I can only hope to achieve such commitment and ethics. He is the real researcher super-star and I can only hope to continue this partnership for a very long time.I also thank the Business School of the University of São Paulo and its Post Graduate Department faculty for their support. I am grateful to all colleagues from the NETS USP research group for all their feedback and support, sharing their knowledge and challenges and always making sure to contribute. A special thanks to my close friend Fabiano Castello, who helped me with finding creative solutions to new problems. I thank my loving wife Anaira who supported me unconditionally and cheered each small milestone. Thank you for your love and strength to make sure I could focus and that our wonderful kids Napoleão and Vicente were always under the best care ever. Thanks to my brother Bernardo, who also shared the PhD journey and always kept me motivated.Finally, I thank my mother Yara and my father Napoleão who instilled in me the will to never stop asking questions and to work hard and smart. They are my constant inspiration to do better.

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Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services

Cited by 11 publications

References 117 publications

The mobile augmented reality acceptance model for teachers and future teachers

The mobile augmented reality acceptance model for teachers and future teachers

Determinants of mobile health (M-Health) application adoption, usage and discontinuity among corporate workers diagnosed with hypertension and diabetes

Understanding the acceptance of multisided teleconsultation platforms: a critical analysis and proposal of a theorical model

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